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Chemical Product Engineering:

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Title: Chemical Product Engineering:


1
Chemical Product Engineering The Third Paradigm
Michael Hill M Hill Associates, LLC and
Columbia University New York, NY,
USA mih16_at_columbia.edu
ESCAPE-18 2 June 2008 Lyon, France
2
What Is a Chemical Product?
  • Functional material which meets specific need
  • Performance chemicals
  • Semi-conductors
  • Pharmaceuticals
  • Paints
  • Personal Care products
  • Processed foods
  • Household products
  • Devices

3
Commodities vs. Products
  • Commodities
  • Compositional spec
  • Generic
  • Low margin
  • High volume
  • Process-centered
  • Products
  • Performance spec
  • Differentiated
  • High margin
  • Often low volume
  • Product-centered

4
Trend Affecting ChE Employment
Cussler Wei, AIChE J, 49 1073
5
What Can ChEs Contribute?
  • Designing a product should benefit from
    understanding of behavior during use
  • Product use is a process
  • Same fundamental knowledge base for understanding
    product manufacture can also provide
    understanding of product use

6
Similarities Differences
  • Process Design
  • Product is specified but process is not
  • Focus on models of manufacturing process
  • Search technique to select among process
    alternatives
  • Goal is lowest cost manufacturing process
  • Product Design
  • Neither product nor process is specified
  • Focus on models of product properties
  • Search technique to select among product
    alternatives
  • Goal is added value through enhanced product
    properties

7
Similarities Differences
  • Process Design
  • Product is specified but process is not
  • Focus on models of manufacturing process
  • Search technique to select among process
    alternatives
  • Goal is lowest cost manufacturing process
  • Product Design
  • Neither product nor process is specified
  • Focus on models of product properties
  • Search technique to select among product
    alternatives
  • Goal is added value through enhanced product
    properties

8
Product Design Engineering require new mindset!
9
(No Transcript)
10
What is a paradigm?
  • Thomas Kuhn (1962) Specific way of viewing
    scientific reality, the mindset of a scientific
    community
  • Affects both choice of problems and acceptable
    approaches for solving
  • Inadequacies frequently minimized or ignored
  • If and when paradigm reaches a crisis, a new
    paradigm will arise

11
Chemical Engineering Paradigms
  • Early chemical engineering
  • First Paradigm Unit Operations
  • Second Paradigm Chemical Engg Science

12
Why a Third Paradigm?
  • Chemical engineering community largely ignored
    all product issues other than costs and purity as
    irrelevant
  • Focused on processing while leaving product
    development to chemists
  • Chemical engineering has been synonymous with
    process engineering

13
Need a product engineering mindset to solve
problems where both product and its
manufacturing process must be identified!
14
How Should Products Be Developed?
  • Historically scientific experimentation
  • Often accelerated through either high-throughput
    experimentation or experimental design, yet both
    inherently limited
  • Better systematic way to identify problem
    solutions that minimizes experimentation

15
Role of Product Design
  • To specify a small set of formulations likely to
    meet product requirements, confirmed or refined
    through experimentation
  • Phase of chemical product development preceding a
    more focused experimental program

16
Product Design Algorithm
  • Cussler Moggridge
  • Identify customer needs
  • Generate ideas to meet those needs
  • Select among the ideas
  • Manufacture the product

17
Product Design Algorithm
  • Cussler Moggridge
  • Identify customer needs
  • Generate ideas to meet those needs
  • Select among the ideas
  • Manufacture the product

18
How to Do This?
  • Creativity techniques can help, but need more
    than just brainstorming and selection
  • Need a generic methodology to systematically
    transform each novel approach into set of product
    alternatives, and to quantitatively analyze those
    alternatives

19
Homogeneous Products
  • Properties result solely from components and not
    a product microstructure generated during
    processing
  • Product and process can be designed sequentially
    rather than simultaneously
  • Algorithm of Cussler Moggridge useful, though
    needs be expanded with additional details

20
Additional Steps
  • Determine profitability
  • Discounted cash flow analysis of investments
    insufficient
  • Need calculate market size that must be achieved
    for revenue to cover fixed costs, known as
    break-even
  • Assess all uncertainties that should be followed
    up by experimentation (risks)

21
Optimization
  • After completing the design cycle, the designer
    can iteratively reassess all previous decisions
    to maximize profitability
  • Designer can also use suboptimal product as
    starting point for mathematical optimization

22
Structured Products
  • Achieve properties through a microstructure,
    determined by interaction of components and
    manufacturing process
  • Product and process must be designed
    simultaneously
  • Need generic design methodology to systematically
    generate alternatives, and to quantitatively
    analyze those alternatives

23
Possible Approaches
  • Generation and systematic reduction of the number
    of alternatives through heuristics
  • Optimization of set of all potential alternatives
    through mathematical programming

24
Pros and Cons
  • Mathematical Programming
  • Useful when sufficient data available
  • Techniques already exist
  • Heuristics
  • Required when data are limited, such as early
    stages of design
  • Significant work is still needed for heuristic
    framework general problem

25
Conclusions
  • Chemical Product Design requires the same
    knowledge base as Process Design but a different
    mindset and new approaches
  • Comprehensive generic methodology for structured
    products in absence of complete data still needed
  • Methodology would accelerate new product
    development well beyond capabilities of purely
    experimental techniques
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